Towards Privacy-Preserving Federated Neuromorphic Learning via Spiking Neuron Models

Federated learning (FL) has been broadly adopted in both academia and industry in recent years. As a bridge to connect the so-called “data islands”, FL has contributed greatly to promoting data utilization. In particular, FL enables disjoint entities to cooperatively train a shared model, while prot...

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Bibliographic Details
Main Authors: Bing Han, Qiang Fu, Xinliang Zhang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/18/3984